Journal article
Estimation of nonlinear systems without a priori structural information and its application in Hammerstein model identification with dynamic nonlinearities
IMA journal of mathematical control and information, Vol.24(3), pp.315-337
09/15/2006
DOI: 10.1093/imamci/dnl025
Abstract
In the paper, we discuss identification of a nonlinear system without structural information and propose two methods, the kernel method and the orthonormal basis method. The convergence results are established for both methods without a priori structural information. We then apply the results to identification of Hammerstein models with an unknown dynamic nonlinearity. It is also shown that identification of the linear part in Hammerstein models is possible with no knowledge of the dynamic nonlinearity.
Details
- Title: Subtitle
- Estimation of nonlinear systems without a priori structural information and its application in Hammerstein model identification with dynamic nonlinearities
- Creators
- Er-Wei Bai - E-mail: er-wei-bai@uiowa.eduYun Liu - University of Iowa
- Resource Type
- Journal article
- Publication Details
- IMA journal of mathematical control and information, Vol.24(3), pp.315-337
- Publisher
- Oxford University Press
- DOI
- 10.1093/imamci/dnl025
- ISSN
- 0265-0754
- eISSN
- 1471-6887
- Language
- English
- Date published
- 09/15/2006
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984197306702771
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